Dataset statistics
| Number of variables | 12 |
|---|---|
| Number of observations | 613888 |
| Missing cells | 214752 |
| Missing cells (%) | 2.9% |
| Duplicate rows | 5 |
| Duplicate rows (%) | < 0.1% |
| Total size in memory | 56.2 MiB |
| Average record size in memory | 96.0 B |
Variable types
| DateTime | 1 |
|---|---|
| Categorical | 3 |
| Numeric | 8 |
| Dataset has 5 (< 0.1%) duplicate rows | Duplicates |
Party_Name has a high cardinality: 147 distinct values | High cardinality |
QueuedTime is highly correlated with WaitTime and 1 other fields | High correlation |
RingTime is highly correlated with WaitTime vs QueuedTime | High correlation |
WaitTime is highly correlated with QueuedTime and 1 other fields | High correlation |
Queue + Ring is highly correlated with QueuedTime and 1 other fields | High correlation |
WaitTime vs QueuedTime is highly correlated with RingTime | High correlation |
Party_Name has 51804 (8.4%) missing values | Missing |
TalkTime has 36852 (6.0%) missing values | Missing |
HoldTime has 60255 (9.8%) missing values | Missing |
WrapTime has 65841 (10.7%) missing values | Missing |
QueuedTime is highly skewed (γ1 = 48.74867442) | Skewed |
WrapTime is highly skewed (γ1 = 379.3110619) | Skewed |
WaitTime is highly skewed (γ1 = 49.86471147) | Skewed |
Queue + Ring is highly skewed (γ1 = 49.86471147) | Skewed |
QueuedTime has 35987 (5.9%) zeros | Zeros |
RingTime has 39115 (6.4%) zeros | Zeros |
TalkTime has 24028 (3.9%) zeros | Zeros |
HoldTime has 447578 (72.9%) zeros | Zeros |
WrapTime has 10994 (1.8%) zeros | Zeros |
WaitTime vs QueuedTime has 39115 (6.4%) zeros | Zeros |
Reproduction
| Analysis started | 2021-02-26 15:33:35.625015 |
|---|---|
| Analysis finished | 2021-02-26 15:34:12.643074 |
| Duration | 37.02 seconds |
| Software version | pandas-profiling v2.11.0 |
| Download configuration | config.yaml |
Call_Start
Date
| Distinct | 597403 |
|---|---|
| Distinct (%) | 97.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.7 MiB |
| Minimum | 2020-01-01 08:22:41.999998 |
|---|---|
| Maximum | 2021-02-21 12:24:08.999997 |
Histogram with fixed size bins (bins=50)
Exit_Reason
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.7 MiB |
| AgentAnswered | |
|---|---|
| Abandoned | 48035 |
| Redirected | 3753 |
Length
| Max length | 13 |
|---|---|
| Median length | 13 |
| Mean length | 12.66867083 |
| Min length | 9 |
Characters and Unicode
| Total characters | 7777145 |
|---|---|
| Distinct characters | 15 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Abandoned |
|---|---|
| 2nd row | Abandoned |
| 3rd row | Abandoned |
| 4th row | Abandoned |
| 5th row | Abandoned |
| Value | Count | Frequency (%) |
| AgentAnswered | 562100 | |
| Abandoned | 48035 | 7.8% |
| Redirected | 3753 | 0.6% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| agentanswered | 562100 | |
| abandoned | 48035 | 7.8% |
| redirected | 3753 | 0.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 1745594 | |
| n | 1220270 | |
| A | 1172235 | |
| d | 665676 | 8.6% |
| t | 565853 | 7.3% |
| r | 565853 | 7.3% |
| g | 562100 | 7.2% |
| s | 562100 | 7.2% |
| w | 562100 | 7.2% |
| b | 48035 | 0.6% |
| Other values (5) | 107329 | 1.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 6601157 | |
| Uppercase Letter | 1175988 | 15.1% |
Most frequent character per category
| Value | Count | Frequency (%) |
| e | 1745594 | |
| n | 1220270 | |
| d | 665676 | 10.1% |
| t | 565853 | 8.6% |
| r | 565853 | 8.6% |
| g | 562100 | 8.5% |
| s | 562100 | 8.5% |
| w | 562100 | 8.5% |
| b | 48035 | 0.7% |
| a | 48035 | 0.7% |
| Other values (3) | 55541 | 0.8% |
| Value | Count | Frequency (%) |
| A | 1172235 | |
| R | 3753 | 0.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 7777145 |
Most frequent character per script
| Value | Count | Frequency (%) |
| e | 1745594 | |
| n | 1220270 | |
| A | 1172235 | |
| d | 665676 | 8.6% |
| t | 565853 | 7.3% |
| r | 565853 | 7.3% |
| g | 562100 | 7.2% |
| s | 562100 | 7.2% |
| w | 562100 | 7.2% |
| b | 48035 | 0.6% |
| Other values (5) | 107329 | 1.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 7777145 |
Most frequent character per block
| Value | Count | Frequency (%) |
| e | 1745594 | |
| n | 1220270 | |
| A | 1172235 | |
| d | 665676 | 8.6% |
| t | 565853 | 7.3% |
| r | 565853 | 7.3% |
| g | 562100 | 7.2% |
| s | 562100 | 7.2% |
| w | 562100 | 7.2% |
| b | 48035 | 0.6% |
| Other values (5) | 107329 | 1.4% |
| Distinct | 147 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 51804 |
| Missing (%) | 8.4% |
| Memory size | 4.7 MiB |
| Alex Dillon | 16744 |
|---|---|
| Daniel Schirmer | 13918 |
| Dave Lee Wincek | 13590 |
| John Gene Vura | 13257 |
| Alex Baltas | 12996 |
| Other values (142) |
Length
| Max length | 17 |
|---|---|
| Median length | 16 |
| Mean length | 15.37884017 |
| Min length | 8 |
Characters and Unicode
| Total characters | 8644200 |
|---|---|
| Distinct characters | 51 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | Kyle Younglas |
|---|---|
| 2nd row | Luis Torres |
| 3rd row | Daniel Schirmer |
| 4th row | Mike Bilfield |
| 5th row | Chris Smucny |
| Value | Count | Frequency (%) |
| Alex Dillon | 16744 | 2.7% |
| Daniel Schirmer | 13918 | 2.3% |
| Dave Lee Wincek | 13590 | 2.2% |
| John Gene Vura | 13257 | 2.2% |
| Alex Baltas | 12996 | 2.1% |
| Timmy Moran | 12857 | 2.1% |
| Butch Herten | 12424 | 2.0% |
| Mike Pascaru | 12390 | 2.0% |
| Dustin Pollock | 11732 | 1.9% |
| Dan Terbrack | 11386 | 1.9% |
| Other values (137) | 430790 | |
| (Missing) | 51804 | 8.4% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| alex | 58681 | 5.1% |
| mike | 46134 | 4.0% |
| john | 26111 | 2.3% |
| matt | 22635 | 2.0% |
| dan | 22432 | 1.9% |
| dillon | 20301 | 1.8% |
| joe | 19642 | 1.7% |
| connor | 18112 | 1.6% |
| daniel | 16419 | 1.4% |
| schirmer | 16418 | 1.4% |
| Other values (146) | 884130 |
Most occurring characters
| Value | Count | Frequency (%) |
| 2222207 | ||
| e | 724093 | 8.4% |
| a | 580071 | 6.7% |
| n | 516805 | 6.0% |
| r | 445569 | 5.2% |
| l | 403147 | 4.7% |
| o | 371993 | 4.3% |
| i | 370230 | 4.3% |
| t | 258391 | 3.0% |
| c | 191036 | 2.2% |
| Other values (41) | 2560658 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 5249661 | |
| Space Separator | 2222207 | |
| Uppercase Letter | 1171922 | 13.6% |
| Other Punctuation | 410 | < 0.1% |
Most frequent character per category
| Value | Count | Frequency (%) |
| e | 724093 | |
| a | 580071 | |
| n | 516805 | |
| r | 445569 | 8.5% |
| l | 403147 | 7.7% |
| o | 371993 | 7.1% |
| i | 370230 | 7.1% |
| t | 258391 | 4.9% |
| c | 191036 | 3.6% |
| h | 190793 | 3.6% |
| Other values (15) | 1197533 |
| Value | Count | Frequency (%) |
| M | 159310 | |
| S | 105566 | |
| D | 104942 | |
| B | 101363 | 8.6% |
| A | 95994 | 8.2% |
| C | 93139 | 7.9% |
| J | 80590 | 6.9% |
| T | 65411 | 5.6% |
| K | 65282 | 5.6% |
| L | 40930 | 3.5% |
| Other values (14) | 259395 |
| Value | Count | Frequency (%) |
| 2222207 |
| Value | Count | Frequency (%) |
| * | 410 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 6421583 | |
| Common | 2222617 | 25.7% |
Most frequent character per script
| Value | Count | Frequency (%) |
| e | 724093 | 11.3% |
| a | 580071 | 9.0% |
| n | 516805 | 8.0% |
| r | 445569 | 6.9% |
| l | 403147 | 6.3% |
| o | 371993 | 5.8% |
| i | 370230 | 5.8% |
| t | 258391 | 4.0% |
| c | 191036 | 3.0% |
| h | 190793 | 3.0% |
| Other values (39) | 2369455 |
| Value | Count | Frequency (%) |
| 2222207 | ||
| * | 410 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 8644200 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 2222207 | ||
| e | 724093 | 8.4% |
| a | 580071 | 6.7% |
| n | 516805 | 6.0% |
| r | 445569 | 5.2% |
| l | 403147 | 4.7% |
| o | 371993 | 4.3% |
| i | 370230 | 4.3% |
| t | 258391 | 3.0% |
| c | 191036 | 2.2% |
| Other values (41) | 2560658 |
channel
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.7 MiB |
| SEO | |
|---|---|
| PPC |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 1841664 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | SEO |
|---|---|
| 2nd row | SEO |
| 3rd row | SEO |
| 4th row | SEO |
| 5th row | SEO |
| Value | Count | Frequency (%) |
| SEO | 455212 | |
| PPC | 158676 | 25.8% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| seo | 455212 | |
| ppc | 158676 | 25.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| S | 455212 | |
| E | 455212 | |
| O | 455212 | |
| P | 317352 | |
| C | 158676 | 8.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 1841664 |
Most frequent character per category
| Value | Count | Frequency (%) |
| S | 455212 | |
| E | 455212 | |
| O | 455212 | |
| P | 317352 | |
| C | 158676 | 8.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1841664 |
Most frequent character per script
| Value | Count | Frequency (%) |
| S | 455212 | |
| E | 455212 | |
| O | 455212 | |
| P | 317352 | |
| C | 158676 | 8.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1841664 |
Most frequent character per block
| Value | Count | Frequency (%) |
| S | 455212 | |
| E | 455212 | |
| O | 455212 | |
| P | 317352 | |
| C | 158676 | 8.6% |
| Distinct | 1141 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 22.05805782 |
|---|---|
| Minimum | 0 |
| Maximum | 14829 |
| Zeros | 35987 |
| Zeros (%) | 5.9% |
| Memory size | 4.7 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 3 |
| median | 4 |
| Q3 | 14 |
| 95-th percentile | 100 |
| Maximum | 14829 |
| Range | 14829 |
| Interquartile range (IQR) | 11 |
Descriptive statistics
| Standard deviation | 76.51917291 |
|---|---|
| Coefficient of variation (CV) | 3.468989588 |
| Kurtosis | 6653.688143 |
| Mean | 22.05805782 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 48.74867442 |
| Sum | 13541177 |
| Variance | 5855.183823 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 4 | 126744 | |
| 3 | 77178 | |
| 2 | 58122 | 9.5% |
| 5 | 37836 | 6.2% |
| 1 | 36945 | 6.0% |
| 0 | 35987 | 5.9% |
| 6 | 13221 | 2.2% |
| 7 | 11990 | 2.0% |
| 9 | 11693 | 1.9% |
| 8 | 11438 | 1.9% |
| Other values (1131) | 192734 |
| Value | Count | Frequency (%) |
| 0 | 35987 | 5.9% |
| 1 | 36945 | 6.0% |
| 2 | 58122 | |
| 3 | 77178 | |
| 4 | 126744 |
| Value | Count | Frequency (%) |
| 14829 | 1 | |
| 14689 | 1 | |
| 12458 | 1 | |
| 8718 | 1 | |
| 6296 | 1 |
| Distinct | 33 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.545757532 |
|---|---|
| Minimum | 0 |
| Maximum | 48 |
| Zeros | 39115 |
| Zeros (%) | 6.4% |
| Memory size | 4.7 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 4 |
| median | 7 |
| Q3 | 10 |
| 95-th percentile | 16 |
| Maximum | 48 |
| Range | 48 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 4.599425179 |
|---|---|
| Coefficient of variation (CV) | 0.6095378972 |
| Kurtosis | 0.2803712952 |
| Mean | 7.545757532 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.6248949212 |
| Sum | 4632250 |
| Variance | 21.15471198 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=33)
| Value | Count | Frequency (%) |
| 6 | 59588 | |
| 5 | 57758 | 9.4% |
| 7 | 53863 | 8.8% |
| 4 | 53126 | 8.7% |
| 8 | 51740 | 8.4% |
| 9 | 45621 | 7.4% |
| 0 | 39115 | 6.4% |
| 10 | 38231 | 6.2% |
| 3 | 37628 | 6.1% |
| 11 | 31163 | 5.1% |
| Other values (23) | 146055 |
| Value | Count | Frequency (%) |
| 0 | 39115 | |
| 1 | 9525 | 1.6% |
| 2 | 23890 | |
| 3 | 37628 | |
| 4 | 53126 |
| Value | Count | Frequency (%) |
| 48 | 1 | |
| 43 | 1 | |
| 34 | 1 | |
| 29 | 2 | |
| 28 | 2 |
| Distinct | 1760 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 36852 |
| Missing (%) | 6.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 189.9516183 |
|---|---|
| Minimum | 0 |
| Maximum | 5791 |
| Zeros | 24028 |
| Zeros (%) | 3.9% |
| Memory size | 4.7 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 44 |
| median | 133 |
| Q3 | 253 |
| 95-th percentile | 604 |
| Maximum | 5791 |
| Range | 5791 |
| Interquartile range (IQR) | 209 |
Descriptive statistics
| Standard deviation | 201.9628504 |
|---|---|
| Coefficient of variation (CV) | 1.063233113 |
| Kurtosis | 8.565161138 |
| Mean | 189.9516183 |
| Median Absolute Deviation (MAD) | 97 |
| Skewness | 2.209755917 |
| Sum | 109608922 |
| Variance | 40788.99296 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 24028 | 3.9% |
| 20 | 4234 | 0.7% |
| 19 | 4125 | 0.7% |
| 18 | 4122 | 0.7% |
| 21 | 4104 | 0.7% |
| 22 | 3962 | 0.6% |
| 17 | 3960 | 0.6% |
| 23 | 3826 | 0.6% |
| 24 | 3800 | 0.6% |
| 16 | 3776 | 0.6% |
| Other values (1750) | 517099 | |
| (Missing) | 36852 | 6.0% |
| Value | Count | Frequency (%) |
| 0 | 24028 | |
| 1 | 1796 | 0.3% |
| 2 | 2001 | 0.3% |
| 3 | 1836 | 0.3% |
| 4 | 1547 | 0.3% |
| Value | Count | Frequency (%) |
| 5791 | 1 | |
| 3607 | 1 | |
| 3547 | 1 | |
| 3223 | 1 | |
| 3177 | 1 |
| Distinct | 636 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 60255 |
| Missing (%) | 9.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.585534099 |
|---|---|
| Minimum | 0 |
| Maximum | 1789 |
| Zeros | 447578 |
| Zeros (%) | 72.9% |
| Memory size | 4.7 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 51 |
| Maximum | 1789 |
| Range | 1789 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 34.17326225 |
|---|---|
| Coefficient of variation (CV) | 4.505056837 |
| Kurtosis | 123.3907354 |
| Mean | 7.585534099 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 8.398149903 |
| Sum | 4199602 |
| Variance | 1167.811853 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 447578 | |
| 1 | 21678 | 3.5% |
| 2 | 10562 | 1.7% |
| 3 | 8276 | 1.3% |
| 4 | 5680 | 0.9% |
| 5 | 4310 | 0.7% |
| 6 | 3576 | 0.6% |
| 7 | 2757 | 0.4% |
| 8 | 2140 | 0.3% |
| 9 | 1452 | 0.2% |
| Other values (626) | 45624 | 7.4% |
| (Missing) | 60255 | 9.8% |
| Value | Count | Frequency (%) |
| 0 | 447578 | |
| 1 | 21678 | 3.5% |
| 2 | 10562 | 1.7% |
| 3 | 8276 | 1.3% |
| 4 | 5680 | 0.9% |
| Value | Count | Frequency (%) |
| 1789 | 1 | |
| 1598 | 1 | |
| 1247 | 1 | |
| 1203 | 1 | |
| 1079 | 1 |
| Distinct | 2560 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 65841 |
| Missing (%) | 10.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 151.4322859 |
|---|---|
| Minimum | 0 |
| Maximum | 227003 |
| Zeros | 10994 |
| Zeros (%) | 1.8% |
| Memory size | 4.7 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 17 |
| median | 83 |
| Q3 | 195 |
| 95-th percentile | 525 |
| Maximum | 227003 |
| Range | 227003 |
| Interquartile range (IQR) | 178 |
Descriptive statistics
| Standard deviation | 383.3986313 |
|---|---|
| Coefficient of variation (CV) | 2.531815649 |
| Kurtosis | 223651.6554 |
| Mean | 151.4322859 |
| Median Absolute Deviation (MAD) | 74 |
| Skewness | 379.3110619 |
| Sum | 82992010 |
| Variance | 146994.5105 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 4 | 15020 | 2.4% |
| 5 | 13983 | 2.3% |
| 3 | 13468 | 2.2% |
| 6 | 11998 | 2.0% |
| 0 | 10994 | 1.8% |
| 7 | 10047 | 1.6% |
| 8 | 8869 | 1.4% |
| 9 | 7592 | 1.2% |
| 10 | 6854 | 1.1% |
| 11 | 6020 | 1.0% |
| Other values (2550) | 443202 | |
| (Missing) | 65841 | 10.7% |
| Value | Count | Frequency (%) |
| 0 | 10994 | |
| 1 | 2022 | 0.3% |
| 2 | 5689 | 0.9% |
| 3 | 13468 | |
| 4 | 15020 |
| Value | Count | Frequency (%) |
| 227003 | 1 | |
| 10386 | 1 | |
| 9834 | 1 | |
| 9817 | 1 | |
| 9726 | 1 |
| Distinct | 1147 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 29.60381535 |
|---|---|
| Minimum | 0 |
| Maximum | 14829 |
| Zeros | 1867 |
| Zeros (%) | 0.3% |
| Memory size | 4.7 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 6 |
| Q1 | 10 |
| median | 14 |
| Q3 | 24 |
| 95-th percentile | 104 |
| Maximum | 14829 |
| Range | 14829 |
| Interquartile range (IQR) | 14 |
Descriptive statistics
| Standard deviation | 75.84398261 |
|---|---|
| Coefficient of variation (CV) | 2.56196648 |
| Kurtosis | 6875.404405 |
| Mean | 29.60381535 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 49.86471147 |
| Sum | 18173427 |
| Variance | 5752.309698 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 10 | 44687 | 7.3% |
| 9 | 42138 | 6.9% |
| 12 | 39387 | 6.4% |
| 11 | 38521 | 6.3% |
| 8 | 37921 | 6.2% |
| 14 | 32384 | 5.3% |
| 13 | 30080 | 4.9% |
| 7 | 27950 | 4.6% |
| 16 | 24096 | 3.9% |
| 15 | 21703 | 3.5% |
| Other values (1137) | 275021 |
| Value | Count | Frequency (%) |
| 0 | 1867 | 0.3% |
| 1 | 843 | 0.1% |
| 2 | 1296 | 0.2% |
| 3 | 2104 | 0.3% |
| 4 | 6128 |
| Value | Count | Frequency (%) |
| 14829 | 1 | |
| 14689 | 1 | |
| 12458 | 1 | |
| 8718 | 1 | |
| 6296 | 1 |
| Distinct | 1147 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 29.60381535 |
|---|---|
| Minimum | 0 |
| Maximum | 14829 |
| Zeros | 1867 |
| Zeros (%) | 0.3% |
| Memory size | 4.7 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 6 |
| Q1 | 10 |
| median | 14 |
| Q3 | 24 |
| 95-th percentile | 104 |
| Maximum | 14829 |
| Range | 14829 |
| Interquartile range (IQR) | 14 |
Descriptive statistics
| Standard deviation | 75.84398261 |
|---|---|
| Coefficient of variation (CV) | 2.56196648 |
| Kurtosis | 6875.404405 |
| Mean | 29.60381535 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 49.86471147 |
| Sum | 18173427 |
| Variance | 5752.309698 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 10 | 44687 | 7.3% |
| 9 | 42138 | 6.9% |
| 12 | 39387 | 6.4% |
| 11 | 38521 | 6.3% |
| 8 | 37921 | 6.2% |
| 14 | 32384 | 5.3% |
| 13 | 30080 | 4.9% |
| 7 | 27950 | 4.6% |
| 16 | 24096 | 3.9% |
| 15 | 21703 | 3.5% |
| Other values (1137) | 275021 |
| Value | Count | Frequency (%) |
| 0 | 1867 | 0.3% |
| 1 | 843 | 0.1% |
| 2 | 1296 | 0.2% |
| 3 | 2104 | 0.3% |
| 4 | 6128 |
| Value | Count | Frequency (%) |
| 14829 | 1 | |
| 14689 | 1 | |
| 12458 | 1 | |
| 8718 | 1 | |
| 6296 | 1 |
| Distinct | 33 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.545757532 |
|---|---|
| Minimum | 0 |
| Maximum | 48 |
| Zeros | 39115 |
| Zeros (%) | 6.4% |
| Memory size | 4.7 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 4 |
| median | 7 |
| Q3 | 10 |
| 95-th percentile | 16 |
| Maximum | 48 |
| Range | 48 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 4.599425179 |
|---|---|
| Coefficient of variation (CV) | 0.6095378972 |
| Kurtosis | 0.2803712952 |
| Mean | 7.545757532 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.6248949212 |
| Sum | 4632250 |
| Variance | 21.15471198 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=33)
| Value | Count | Frequency (%) |
| 6 | 59588 | |
| 5 | 57758 | 9.4% |
| 7 | 53863 | 8.8% |
| 4 | 53126 | 8.7% |
| 8 | 51740 | 8.4% |
| 9 | 45621 | 7.4% |
| 0 | 39115 | 6.4% |
| 10 | 38231 | 6.2% |
| 3 | 37628 | 6.1% |
| 11 | 31163 | 5.1% |
| Other values (23) | 146055 |
| Value | Count | Frequency (%) |
| 0 | 39115 | |
| 1 | 9525 | 1.6% |
| 2 | 23890 | |
| 3 | 37628 | |
| 4 | 53126 |
| Value | Count | Frequency (%) |
| 48 | 1 | |
| 43 | 1 | |
| 34 | 1 | |
| 29 | 2 | |
| 28 | 2 |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| Call_Start | Exit_Reason | Party_Name | channel | QueuedTime | RingTime | TalkTime | HoldTime | WrapTime | WaitTime | Queue + Ring | WaitTime vs QueuedTime | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2020-01-01 08:22:41.999998 | Abandoned | NaN | SEO | 11 | 0 | NaN | NaN | NaN | 11 | 11 | 0 |
| 1 | 2020-01-01 08:54:11.999998 | Abandoned | NaN | SEO | 115 | 0 | NaN | NaN | NaN | 115 | 115 | 0 |
| 2 | 2020-01-01 10:41:51.999997 | Abandoned | NaN | SEO | 25 | 0 | NaN | NaN | NaN | 25 | 25 | 0 |
| 3 | 2020-01-01 10:47:42.999996 | Abandoned | NaN | SEO | 60 | 0 | NaN | NaN | NaN | 60 | 60 | 0 |
| 4 | 2020-01-01 11:06:46.000000 | Abandoned | NaN | SEO | 20 | 0 | NaN | NaN | NaN | 20 | 20 | 0 |
| 5 | 2020-01-01 11:25:49.000002 | Abandoned | NaN | SEO | 7 | 0 | NaN | NaN | NaN | 7 | 7 | 0 |
| 6 | 2020-01-01 15:08:38.000002 | Abandoned | NaN | SEO | 23 | 0 | NaN | NaN | NaN | 23 | 23 | 0 |
| 7 | 2020-01-01 16:38:39.000005 | Abandoned | NaN | SEO | 119 | 0 | NaN | NaN | NaN | 119 | 119 | 0 |
| 8 | 2020-01-01 16:53:30.999999 | Abandoned | NaN | SEO | 12 | 0 | NaN | NaN | NaN | 12 | 12 | 0 |
| 9 | 2020-01-01 16:58:58.999999 | Abandoned | NaN | SEO | 20 | 0 | NaN | NaN | NaN | 20 | 20 | 0 |
Last rows
| Call_Start | Exit_Reason | Party_Name | channel | QueuedTime | RingTime | TalkTime | HoldTime | WrapTime | WaitTime | Queue + Ring | WaitTime vs QueuedTime | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 613878 | 2021-02-21 12:07:37.000004 | AgentAnswered | Matthew Duff | SEO | 11 | 11 | 210.0 | 0.0 | 0.0 | 22 | 22 | 11 |
| 613879 | 2021-02-21 12:08:27.000004 | AgentAnswered | Junior Fetchet | SEO | 8 | 8 | 133.0 | 0.0 | 2.0 | 16 | 16 | 8 |
| 613880 | 2021-02-21 12:13:19.000001 | AgentAnswered | Matt Tashjian | SEO | 15 | 15 | 68.0 | 0.0 | 42.0 | 30 | 30 | 15 |
| 613881 | 2021-02-21 12:13:54.000002 | AgentAnswered | Matthew Duff | SEO | 18 | 6 | 92.0 | 0.0 | 2.0 | 24 | 24 | 6 |
| 613882 | 2021-02-21 12:14:41.999997 | AgentAnswered | Lauren Basch | SEO | 17 | 5 | 40.0 | 0.0 | 0.0 | 22 | 22 | 5 |
| 613883 | 2021-02-21 12:17:38.999996 | AgentAnswered | Matt Tashjian | SEO | 14 | 14 | 121.0 | 0.0 | 2.0 | 28 | 28 | 14 |
| 613884 | 2021-02-21 12:18:55.000003 | AgentAnswered | Meredith Chesney | SEO | 4 | 4 | 289.0 | 0.0 | 1.0 | 8 | 8 | 4 |
| 613885 | 2021-02-21 12:20:36.000004 | Abandoned | NaN | SEO | 8 | 0 | NaN | NaN | NaN | 8 | 8 | 0 |
| 613886 | 2021-02-21 12:22:32.999998 | AgentAnswered | Matt Tashjian | SEO | 17 | 17 | 55.0 | 0.0 | 12.0 | 34 | 34 | 17 |
| 613887 | 2021-02-21 12:24:08.999997 | AgentAnswered | Junior Fetchet | SEO | 7 | 7 | 201.0 | 0.0 | 42.0 | 14 | 14 | 7 |